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Pair Selection Optimization for InSAR Time Series Processing
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  • Delphine Smittarello,
  • Nicolas F. d'Oreye,
  • Maxime Jaspard,
  • Dominique Derauw,
  • Sergey V Samsonov
Delphine Smittarello
European Center for Geodynamics and Seismology

Corresponding Author:delphine.smittarello@ecgs.lu

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Nicolas F. d'Oreye
National Museum of Natural History of Luxembourg and European Center for Geodynamics and Seismology
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Maxime Jaspard
European Center for Geodynamics and Seismology
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Dominique Derauw
Centre Spatial de Li├Ęge and Universidad Nacional de Rio Negro
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Sergey V Samsonov
Natural Resources Canada
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Abstract

The ever-increasing amount of SAR data motivates the development of automatic processing chains to fully exploit the opportunities offered by these large databases.
The InSAR Mass processing Toolbox for Multidimensional time series (MasTer) is an optimized tool to automatically download SAR data, select the interferometric pairs, perform the interferometric mass processing, compute the geocoded deformation maps, invert and display the velocity maps and the 2D time series on a web page updated incrementally as soon as a new image is available.
New challenges relate to data management and processing load. We address them through methodological improvements dedicated to optimizing the InSAR pair selection.
The proposed algorithm narrows the classical selection based on the shortest temporal and spatial baselines thanks to a coherence proxy and balances the use of each image as Primary and Secondary images thanks to graph theory methods.
We apply the processing to three volcanic areas characterized with different climate, vegetation and deformation characteristics: the Virunga Volcanic Province (DR Congo), the Reunion Island (France) and the Domuyo and Laguna del Maule area (Chile-Argentina border).
Compared to pair selection based solely on baseline criteria, this new tool produces similar velocity maps while reducing the total number of computed differential InSAR interferograms by up to 75\%, which drastically reduces the computation time.
The optimization also allows to reduce the influence of DEM errors and atmospheric phase screen, which increase the signal-to-noise ratio of the inverted displacement time series.
Mar 2022Published in Journal of Geophysical Research: Solid Earth volume 127 issue 3. 10.1029/2021JB022825